在Google Cloud上的Docker上启动TensorFlow [英] Starting TensorFlow on Docker on Google Cloud

问题描述

我按照方向在Google Cloud上的Docker上安装TensorFlow：

I followed the directions to install TensorFlow on Docker on Google Cloud here :

http://tensorflow.org/get_started/os_setup.html#docker-based-installation

第一次，它工作并显示张量流提示。
现在我已经退出并返回，我得到这个：

The first time, it did work and showed the tensorflow prompt. Now that I have logged out and back in, I get this:

technologiclee @ docker-playground：〜$ docker run - 它b.gcr.io/tensorflow/tensorflow
root @ 2e87064f0743：/＃

我也尝试过：

root @ 2e87064f0743：/＃docker run b.gcr.io/tensorflow/tensorflow-full
bash：docker：command not found code>

root@2e87064f0743:/# docker run b.gcr.io/tensorflow/tensorflow-full bash: docker: command not found

在安装了Docker之后，是否有一种不同的启动TensorFlow的方法？

Is there a different way to start TensorFlow on Docker after it is installed?

推荐答案

docker run -it 命令在安装TensorFlow的容器中显示一个bash shell。一旦你进入 root @ 2e87064f0743：/＃提示你可以启动一个交互式TensorFlow会话，开始 ipython 以下示例显示：

The docker run -it command brings up a bash shell in a container where TensorFlow is installed. Once you are at the root@2e87064f0743:/# prompt you can start an interactive TensorFlow session by starting ipython as the following example shows:

$ docker run -it b.gcr.io/tensorflow/tensorflow

root@2e87064f0743:/# ipython

Python 2.7.6 ...
In [1]: import tensorflow as tf
In [2]: c = tf.constant(5.0)
In [3]: sess = tf.InteractiveSession()
I tensorflow/core/...

In [4]: c.eval()
Out[4]: 5.0

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